AI & Data Engineer Entry Level

Overview

• As a junior member of the Technology Developemnt & Applied Research department you will:
• Assist in prototyping AI solutions
• br>Work with senior engineers to build proof-of-concept applications across computer-vision, natural-language, generative AI, and predictive-analytics use cases.
• Support model evaluation & benchmarking
• br>Run experiments, gather performance metrics, and help select the most appropriate algorithms, features, or hyper-parameters for each project.
• Contribute to model packaging & deployment
• br>Write Dockerfiles, maintain docker-compose (or similar) configurations, and learn modern MLOps practices for taking models from notebook to production.
• Help build and maintain data pipelines
• br>Ingest, clean, and transform structured and unstructured data sets that fuel our machine-learning workflows and analytics dashboards.
• Write clean, testable Python code
• br>Develop reusable utilities, unit tests, and Jupyter notebooks under the guidance of senior developers.
• Document and present your work
• br>Create concise reports, dashboards, and short demos for both technical and non-technical stakeholders.
• Stay curious and up-to-date
• br>Follow the latest AI/ML research and industry trends, sharing noteworthy papers, tools, or tutorials with the team.